Phase to pattern inverse design paradigm for fast realization of functional metasurfaces via transfer learning.
Abstract not provided.
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Abstract not provided.
An apparatus includes a fin pack of parallel plates that protrude from a base, a lid attachable to the fin pack opposite the base, and a brazing material painted onto the lid only in a plurality of wettable regions. The lid is positioned against the fin pack, opposite the base, with portions of the plurality of regions contacting edges of the parallel plates. The lid is brazed to the fin pack without intrusion of the brazing material between the parallel plates. This is accomplished by obtaining a lid to be attached to a fin pack of parallel plates that protrude from a base, painting the lid with the brazing material only in a plurality of wettable regions, positioning the lid against the fin pack, opposite the base, with portions of the plurality of regions contacting edges of the parallel plates, and brazing the lid to the fin pack.
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Anodic materials for lithium ions batteries include a current collector and a superlattice disposed on at least a portion of the current collector, the superlattice comprising: alternating layers of an anode active material and an anode inactive material; and a plurality of channels that extend from the current collector through the alternating layers of anode active material and anode inactive material.
The continual expansion of high-performance computing (HPC) brings with it an increasing need for efficiency. Heavy investment in energy, hardware, and software infrastructure to support peta- and exascale computing requires the optimization of existing systems and, wherever possible, the discernment and adoption of best-practices towards these goals. Such is the case for runtime prediction. When a job is submitted to an HPC system, an estimate of its runtime is provided by the user in the form of "requested wallclock''. Error in this user-provided estimate can lead to jobs being prematurely killed by the scheduler, increased wait time on the queue, and decreased system utilization. More than fifteen years of research has been directed at mitigating these effects by using data-driven runtime predictions. Codified here is a set of commonalities and insights emerging from this body of work, which we present as recommendations and best practices. These practices are combined into a methodological approach described and evaluated on an 11-million-job dataset from the National Renewable Energy Laboratory's petascale HPC system, Eagle. This dataset and the accompanying codebase have been released to the public domain for the benefit of the wider HPC research community.
Abstract not provided.
A thermal state of a plurality of zones of the building is updated according to a building thermal model and information received from temperature sensors of the building. Predicted occupant counts for an upcoming plurality of time slots for each of the plurality of zones are updated using actual occupancy counts for each of the plurality of zones. A misprediction type distribution for the upcoming plurality of time slots for each of the plurality of zones is updated, the misprediction type distribution indicating misprediction for true negatives, false positives, false negatives, and true positives. A total misprediction cost expectation is updated according to the predicted occupant counts and the misprediction type distribution. HVAC power for each of the plurality of zones is determined to optimize occupant thermal comfort weighted according to the predicted occupant counts while minimizing the total misprediction cost expectation. HVAC operation is controlled per the HVAC power.
Solutions for deep decarbonization need to be sustainable as well as affordable to garner widespread adoption. The past two decades have seen the introduction of new technologies and paradigms such as electric vehicles (EVs), solar photovoltaics (PVs), and increased work-from-home (WFH), which impact the overall energy consumption and cost of a household in different ways. However, much attention has not been paid to explore the joint impact these technologies have on a household's energy (electricity cost) burden. Leveraging Residential Energy Consumption Survey (RECS), this study presents an integrated model to unravel the extent to which the bundled adoption of EV-PV and stay-at-home decisions impact the total electricity cost of households. RECS data revealed that, compared to the baseline (i.e., households that did not own any of these technologies), households that own EVs, PVs, and engage in WFH observed a 13.5% decline in their electricity bills, despite a 25% increase in electricity consumption. The model results indicated that bundled adoption of EVs-PVs reduces electricity costs more significantly for a household, compared to the increased costs imposed by more household members staying at home. This holistic assessment presents an opportunity for decision makers to contextualize the changing energy costs and design effective strategies to foster a sustainable and affordable future. Policies such as bundled incentivization to motivate co-adoption, education about energy-management strategies, and add-on subsidies to adopt energy-efficient appliances, will not only accelerate decarbonization but increase household financial savings.
Described herein are systems and methods of utilizing nanochannels generated in the sacrificial layer of a semiconductor substrate to increase epitaxial lift-off speeds and facilitate reusability of GaAs substrates. The provided systems and methods may utilize unique nanochannel geometries to increase the surface area exposed to the etchant and further decrease etch times.
A method for fabricating an organic electronic device comprises providing a plurality of photoresist structures on a substrate, the substrate having a first electrode layer, the photoresist structures having a bottom surface attached to the substrate and a top surface opposite the bottom surface, the top surface having a dimension greater than a dimension of the bottom surface, positioning a mask over the structures, the mask having a plurality of openings, and depositing an emissive material over the substrate through at least one of the plurality of openings to form at least one emissive element. An organic electronic device and a method of fabricating an organic electronic component are also described.
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